The Geoblock program is integrated software for 2D/3D modeling, computational geometry and visualization of spatial datasets. The program can be used in Earth sciences particularly in such fields as survey, geology and mining modeling, ore reserve estimations and prediction of mineral liberation under grinding and mineral processing operations.
The contents of the Geoblock program are subject to the Mozilla Public License Version 1.1. This software delivers with open source codes as an integrated system for users and developers. You can use it free of charge for non-commercial use. To order the full installation on CD with the latest stable version and additional documentation
The program supports several spatial dataset types: Drillholes, Points, Polygons, TINs, Solids, Grids and Meshes. Combined datasets can be organized into project collections and displayed inside Map Window of the program as a combination of contours, wireframe or block models simultaneously.
The databases can be stored in various relational formats: Paradox, Interbase, MS Access and Oracle. Spatial data and graphical objects can be exported/imported to DXF (AutoCAD), MIF/MID (MapInfo), GRD (Surfer, ArcInfo) and other formats.
There are a set of routines for grid and mesh generation in 2D and 3D. For example procedures for exploration and processing drillhole data include:
· Drillhole data analysis and data transformations.
· Compositing drillhole samples inside benches or horizons
· Calculation of sample XYZ coordinates in drillholes and exploration lines
· Mineral liberation and prediction of ore dressing parameters
· Inverse Distance
· Linear by TINs
· Closest Point
As optional features there are next methods of interpolation:
· Natural Neighbors
· Polynomial Regression
Several spatial models can be visualized simultaneously in Map window using project manager. Constructed grids and block models could be used for open pit optimization and mine planning. Deposit reserves for any ore type or sort can be calculated with different methods using spatial computer models.